非均匀环境下利用单个数据集的STAP算法

对非均匀环境下利用单个数据集的机载雷达空时自适应处理(SDS-STAP)算法进行了研究。针对现有单个数据集类空时自适应算法存在的问题,提出了一种基于对待测数据集进行空时二维滑窗处理的二维幅度相位估计(2D-APES)算法。该算法利用回波的统计信息,不仅放宽了算法处理器对于雷达系统阵元数与脉冲数选取的约束,而且能够有效抑制杂波及待测单元内的干扰,同时降低了处理器的计算复杂度。最后,仿真数据及实测数据实验验证了所提算法的正确性与有效性。

Single data set-STAP algorithm in heterogeneous environment

This paper describes the single data set space-time adaptive processing (SDS-STAP) algorithms for airborne radar in heterogeneous environment. For the problems of the present SDS-STAP algorithms, a two-dimensional amplitude and phase estimation (2D-APES) algorithm is proposed based on sliding windows in space-time of the cell under test. The proposed algorithm utilizes the statistical information of the echo, not only broadens the restrictions for the selection of the element and pluse numbers of the radar system, but also suppresses the clutter and the interferences of the cell under test effectively; what's more, it has a low computational complexity. Finally, simulated and real test data verify the validity of the proposed algorithm.